肺功能标准值预测方程的最新进展:与基于GAMLSS的全球肺部倡议预测方程进行比较
Toshitaka Shomura1, Yosuke Wada1, Masayuki Hanaoka1
1First Department of Internal Medicine, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto 390-8621, Japan.
Respiratory investigation
|September 21, 2025
概括
精确的肺功能测试 (LFTs) 解释需要适当的参考方程. 位置,尺度和形状 (GAMLSS) 的通用增值模型和LMS方法能够在不同年龄段准确,连续地预测LFT,帮助z-score计算.
科学领域:
- 肺部医学 肺部医学
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 肺功能测试 (LFTs) 的准确解释依赖于选择适当的参考预测方程.
- 美国胸腔学会 (ATS) 和欧洲呼吸学会 (ERS) 的全球肺功能倡议 (GLI) 建议为广泛的年龄范围提供连续标准值预测方程.
- 位置,尺度和形状 (GAMLSS) 的通用添加模型为开发此类方程提供了强大的统计框架.
研究的目的:
- 概述使用GAMLSS进行螺旋测量,扩散容量和静态肺体积的肺功能预测方程.
- 编制必要的统计知识,以创建基于GAMLSS的肺功能参考值预测算法.
- 在预测方程中指导z-score的计算,并解决种族多样性的问题.
主要方法:
- 使用位置,尺度和形状 (GAMLSS) 的通用添加模型来创建准确的百分位曲线.
- 采用Lambda,Mu和Sigma (LMS) 方法,这是GAMLSS的一个亚型,用于预测方程的开发.
- 审查构建肺功能参考值预测算法的统计技术.
主要成果:
- GAMLSS和LMS方法有助于创建适用于广泛年龄范围的连续肺功能预测方程.
- 这些预测方程可以计算z分数,以便更精确地解释LFT.
- 该综述详细介绍了在方程开发中对种族多样性的统计基础和考虑.
结论:
- GAMLSS提供了一种强大的统计方法,用于开发准确和连续的肺功能预测方程.
- 在GAMLSS中,LMS方法对于生成可靠的参考值和z-score至关重要.
- 标准化,统计学上可靠的方程对于对肺功能测试进行一致和准确的全球解释至关重要.
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